Mask R-CNN based deep learning analysis on in-situ measured crystal images with automatic dataset labelling
Author:
Affiliation:
1. School of Control Science and Engineering, Dalian University of Technology,Dalian,116024
2. School of Information and Communication Engineering, Dalian University of Technology,Dalian,116024
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902343.pdf?arnumber=9902343
Reference21 articles.
1. On-line measurement of the real size and shape of crystals in stirred tank crystalliser using non-invasive stereo vision imaging;zhang;Chemical Engineering Science,2015
2. In-situ crystal morphology identification using imaging analysis with application to the L-glutamic acid crystallization
3. Image analysis for in-situ detection of agglomeration for needle-like crystals
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Fast R-CNN
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